Paper Citation Record · LEDGER

Codebook Features: Sparse and Discrete Interpretability for Neural Networks

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2310.17230.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2310.17230 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:28:21.895444Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-01T10:15:44.367147Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ff968efa-cfb6-4539-9d2f-8b52d3b3b1e7 · inbound

Reasoning about Uncertainty: Do Reasoning Models Know When They Don't Know? cites this paper.

Reasoning about Uncertainty: Do Reasoning Models Know When They Don't Know? Codebook Features: Sparse and Discrete Interpretability for Neural Networks

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T23:28:21.895444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c0496bf-71fc-42ea-a76c-b215fc6f7781 · inbound

TopK Language Models cites this paper.

TopK Language Models Codebook Features: Sparse and Discrete Interpretability for Neural Networks

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T22:31:38.680344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6bc741e-30f0-4536-8181-a1c612ea749d · inbound

Model Directions, Not Words: Mechanistic Topic Models Using Sparse Autoencoders cites this paper.

Model Directions, Not Words: Mechanistic Topic Models Using Sparse Autoencoders Codebook Features: Sparse and Discrete Interpretability for Neural Networks

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-06T11:01:42.904487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc3db6eb-d65f-4b81-bb3c-8579b8948b65 · inbound

Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet cites this paper.

Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet Codebook Features: Sparse and Discrete Interpretability for Neural Networks

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-06-29T07:53:13.492629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b7ff5da0-0933-4a50-b054-3657b3fa3cd2 · inbound

Explicit Fuzzy Logic in the Feed-Forward Layer: Self-Forgetting Quantifiers Discover Legible Grammatical-Licensing Detectors cites this paper.

Explicit Fuzzy Logic in the Feed-Forward Layer: Self-Forgetting Quantifiers Discover Legible Grammatical-Licensing Detectors Codebook Features: Sparse and Discrete Interpretability for Neural Networks

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-01T10:15:44.368706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation de236efa-f568-4a98-b507-9504b95eb3c0 · inbound

Legible-by-Construction: Attention and End-to-End Transformers cites this paper.

Legible-by-Construction: Attention and End-to-End Transformers Codebook Features: Sparse and Discrete Interpretability for Neural Networks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-11T20:06:55.102341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9bd76ff-1d13-41cf-941b-e18a5592954b · inbound

Train the Model, Not the Reader: Decodability Supervision for Verifiable Activation Explanations cites this paper.

Train the Model, Not the Reader: Decodability Supervision for Verifiable Activation Explanations Codebook Features: Sparse and Discrete Interpretability for Neural Networks

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T10:03:02.404522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.